Evidence map›Paper›PMID 42166106›Full record

ArticleEnvironmental geochemistry and health2026

Potentially Toxic Metal Flux and Bioaccumulation Pathways in Buffaloes from Rural and Urban Agroecosystems: a Multi-Matrix Environmental Health Assessment.

Ilker Ugulu, Zafar Iqbal Khan, Asma Ashfaq, Kausar Perveen, Kafeel Ahmad, Ijaz Rasool Noorka, Saqib Bashir

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Article in Environmental geochemistry and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ilker UguluFaculty of Education, Usak University, Usak, Turkey. ilkerugulu@gmail.com.ORCID http://orcid.org/0000-0002-6514-6575
Zafar Iqbal KhanDepartment of Botany, University of Sargodha, Sargodha, Pakistan.
Asma AshfaqDepartment of Botany, University of Sargodha, Sargodha, Pakistan.
Kausar PerveenDepartment of Botany, University of Sargodha, Sargodha, Pakistan.
Kafeel AhmadDepartment of Botany, University of Sargodha, Sargodha, Pakistan.
Ijaz Rasool NoorkaDepartment of Plant Breeding and Genetics, College of Agriculture, University of Sargodha, Sargodha, Pakistan.
Saqib BashirDepartment of Soil and Environmental Sciences, Ghazi University, Dera Ghazi Khan, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potentially toxic metal contamination in agroecosystems poses a growing risk to environmental and food safety, particularly in arid regions where water scarcity enhances metal accumulation and increases reliance on groundwater irrigation. However, integrated assessments across environmental and biological matrices remain limited. This study quantified chromium (Cr), iron (Fe), manganese (Mn), and nickel (Ni) in irrigation water, soil, forage, milk, and hair samples collected from rural and urban buffalo-rearing systems in Bhalwal, Punjab, Pakistan. Samples were subjected to acid digestion followed by quantification using Flame Atomic Absorption Spectrophotometry (AAS). Measured concentrations in irrigation water ranged from 0.0025 to 0.047 mg/L (Cr), 1.45 to 6.70 mg/L (Fe), 0.018 to 0.097 mg/L (Mn), and 0.015 to 2.30 mg/L (Ni). While Cr and Mn remained below WHO and USEPA guideline limits (0.05-0.1 mg/L for Cr; 0.05-0.4 mg/L for Mn), Fe (limit: 0.3 mg/L) and Ni (limit: 0.07-0.1 mg/L) exceeded permissible levels at several sites, particularly in urban areas. Similar trends were observed in soil and forage, with elevated concentrations of Fe (up to 75.50 mg/kg) and Ni (up to 15.60 mg/kg). In biological matrices, milk concentrations ranged from 0.910 to 3.376 mg/L (Cr), 0.363 to 1.473 mg/L (Fe), 0.683 to 1.166 mg/L (Mn), and 0.223 to 0.915 mg/L (Ni), with several values exceeding typical background levels reported in the literature. Hair samples showed comparatively higher metal accumulation, reflecting longer-term exposure. Although concentration gradients from environmental to biological samples were observed, these findings indicate potential accumulation patterns rather than definitive trophic transfer pathways.

Indexed as

BuffaloesMetalsMetals, HeavySoil PollutantsWater Pollutants, ChemicalAgricultureAnimalsBioaccumulationEnvironmental MonitoringHairMilkPakistanMetalsMetals, HeavySoil PollutantsWater Pollutants, ChemicalBioaccumulationBuffaloForage plantsMilk contaminationPotentially toxic metals

Identifiers

PMID42166106
PMCPMC13194274

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.